Data Quality: The Accuracy Dimension (The Morgan Kaufmann Series in Data Management Systems) (Paperback)

by Jack E. Olson (Author) "Accurate data is a fundamental requirement of good information systems..." (more)
Key Phrases: profiling analyst, data profiling technology, inaccurate data facts, Closing Remarks, Social Security, Sources of Inaccurate Data (more...)

Editorial Reviews

Review
"Jack Olson's contribution represents the superb blend of theory and guidance from a
master practitioner." - Peter Aiken -- Review

Review
"Jack Olson's contribution represents the superb blend of theory and guidance from a
master practitioner." - Peter Aiken

See all Editorial Reviews

Product Details

• Paperback: 300 pages
• Publisher: Morgan Kaufmann; 1 edition (January 9, 2003)
• Language: English
• ISBN-10: 1558608915
• ISBN-13: 978-1558608917
• Product Dimensions: 8.7 x 6 x 0.7 inches
• Shipping Weight: 14.9 ounces (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars See all reviews (6 customer reviews)
• Amazon.com Sales Rank: #509,715 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

41 of 45 people found the following review helpful:

5.0 out of 5 stars Best Data Quality Book (repost), January 16, 2004

By	Ralph Kimball (Boulder Creek, CA United States) - See all my reviews

This book is the clearest, most practical book on data profiling and data quality that I have seen. Jack breaks down data quality issues into specific categories, and leaves you with a vision of what to do if you are building a data warehouse. His practical experience shows through very clearly and he talks to the IT developer (the reader) very effectively.

This book is on my very short list of essential reading for data warehouse professionals.

Ralph Kimball
Data Warehouse Author

16 of 17 people found the following review helpful:

5.0 out of 5 stars Practical techniques that will have an impact on your ETL , September 28, 2004

By	K. Ambrose (San Francisco, CA United States) - See all my reviews (REAL NAME)

Concepts and technical approaches for analyzing and improving the usefullness of source data are presented in a well organized and logical sequence. Not quite a roadmap/algorithm for achieving data quality; it's balanced a little more on the conceptual side. The techniques and concepts presented are ones you _will_ want to begin using if you have any data quality issues in your source data (and who doesn't), I guarantee that. As a working ETL developer referencing disparate, low quality data, this book has had an impact on our approach, our results, and our project. Short and to the point, it's an easy study also!

9 of 10 people found the following review helpful:

5.0 out of 5 stars A groundbreaking book! The scoop on Data Profiling., September 8, 2004

By	Shawn B. Wikle "wik" (Austin, TX) - See all my reviews (REAL NAME)

Jack Olson coined the term "data profiling" and essentially founded this important new field in the area of data quality assessment. His revolutionary techniques, outlined in this book, can provide IT professionals with an important new set of tools for analyzing data quality. This is a must read for anyone working in the data quality field today. I also recommend it for people in related fields such as data warehousing, Enterprise Application Integration, and database design. With so many "me too" books in the computer field, it's a real joy to find a book that really does break new ground.